Latent Variable

Ask about this topic

Momentum

21 papers in the last four weeks, up 163% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 160

All topics
CardsList

  1. Uncovering Latent Depression Severity for Binary Depression Detection via Advantage-weighting Ranking

    Jul 7, 2026Manning Gao, Tingyi Liu, Leheng Zhang +3DepressionMultimodal Deep Learning

    South China Normal University, China · Sun Yat-sen University, China

  2. λ\mathbfλ-VAE: Variance Equalization for Posterior Collapse

    Jul 6, 2026Girum DemisseConditional Variational AutoencoderCollapse

    Microsoft African Development Center Nairobi Kenya

  3. Listen, Think, Transcribe: Continuous Latent Test-Time Scaling for ASR

    Jul 6, 2026Ho Lam Chung, Yiming Chen, Dau-Cheng Lyu +2End-To-End Automatic Speech Recognition ModelsWhisper-Large-V3

    National Taiwan University, Taiwan · ASUS, Taiwan · National University of Singapore, Singapore

  4. When Does High-CFG Diffusion Inversion Fail? A Controlled Study of Prompt--Latent Interactions

    Jul 6, 2026Yan Zeng, Yusuke Hosoya, Huyen T. T. Tran +1Diffusion InversionDiffusion-Based Image Editing

    GSIS Tohoku University Sendai, Japan · RIKEN AIP JAPAN

  5. What You See Is What You Get: Observation-Aligned Supervision for Chart-to-Code Generation

    Jul 6, 2026Tianhao Niu, Qingfu Zhu, Wanxiang CheImage-To-Code GenerationCode Generation

    Research Center for Social Computing and Interactive Robotics Harbin Institute of Technology, China

  6. PRISM: Latent Composition Consistency for Single-Image Reflection Removal

    Jun 30, 2026Junseong Shin, Tae Hyun KimIntrinsic Image DecompositionLatent Diffusion Model

    Department of Artificial Intelligence, Hanyang University, Seoul, South Korea · Department of Computer Science, Hanyang University, Seoul, South Korea

  7. Why Struggle with Continuous Latents? Interpretable Discrete Latent Reasoning via Rendered Compression

    Jun 29, 2026Shuochen Chang, Qingyang Liu, Shaobo Wang +8Efficient Latent ReasoningIntermediate Latent States

    Shanghai Jiao Tong University · Tongji University

  8. Latent Bridges for Multi-Table Question Answering

    Jun 27, 2026Simone Varriale, Tamara Cucumides, Floris Geerts +1QuestionCompact Latent Sensor Tokens

    1EURECOM · University of Antwerp

  9. Perspectives on Latent Factor Indeterminacy and its Implications for Data Representation

    Jun 27, 2026Carel F. W. PeetersExploratory Factor AnalysisLatent Variable

    Mathematical & Statistical Methods group – Biometris, Wageningen University & Research

  10. Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics

    Jun 25, 2026Elia Colleoni, Paolo Guida, Didier Barradas-Bautista +1Molecular GenerationDrug Discovery

    Clean Energy Research Center (CERP) Physical Science and Engineering (PSE) Division King Abdullah University of Science and Technology Thuwal, Saudi Arabia 23955 · Kaust Visualization Lab (KVL) Core Lab Division King Abdullah University of Science and Technology Thuwal, Saudi Arabia 23955

  11. Explaining Temporal Graph Neural Networks via Feature-induced Information Flow

    Jun 25, 2026Ping Xiong, Thomas Schnake, Klaus-Robert Müller +1Temporal Graph Neural NetworksInformation-Flow Control

    Berlin Institute for the Foundations of Learning and Data – BIFOLD, 10623 Berlin, Germany · Machine Learning Group, Technical University of Berlin, Berlin, Germany · Department of Chemistry, Chemical Physics Theory Group, University of Toronto, Toronto, Canada +5

  12. GEOALIGN: Geometric Rollout Curation for Robust LLM Reinforcement Learning

    Jun 25, 2026Ting Zhou, Zhenqing Ling, Yiyang Zhao +2Large Language Model AlignmentLarge Language Model Reinforcement Learning

    Sun Yat-Sen University, Guangzhou, China · Alibaba Group, Hangzhou, China · Guangdong Tobacco Guangzhou Co., Ltd., Guangzhou, China

  13. The Latent Bridge: A Continuous Slow-Fast Channel for Real-Time Game Agents

    Jun 23, 2026Bojie Li, Noah ShiEfficient Latent ReasoningInference Latency

    Pine AI · University of Washington

  14. Latent Visual States for Efficient Multimodal Reasoning

    Jun 23, 2026Xiuwei Chen, Wentao Hu, Yongxin Wang +8Latent Visual ReasoningLarge Multimodal Models

    Sun Yat-sen University · The Hong Kong Polytechnic University · MBZUAI +2

  15. Deep Image Prototype Learning with Geometric Heat-Kernel Priors

    Jun 17, 2026Jiarui Xing, Tal Zeevi, Nian Wu +1Learnable PrototypesLatent Variable

    Yale School of Medicine, New Haven CT, 06510, USA · University of Virginia, Charlottesville, VA, 22903, USA · Harvard Medical School, Boston MA, 02115, USA

  16. Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation

    Jun 16, 2026Soheun Yi, Yizhou Lu, Chandler Squires +1IdentifiabilityLatent Variable

    Department of Statistics and Data Science, Carnegie Mellon University · Machine Learning Department, Carnegie Mellon University

  17. Recover Semantics First, Generate Better: Improved Latent Modeling for 3D MRI Reconstruction and Cross-Contrast Synthesis

    Jun 16, 2026Yonghao Chen, Sicheng Yang, Rui Tang +1Magnetic Resonance Imaging ReconstructionMedical Image Generation

    The Hong Kong University of Science and Technology (Guangzhou) · Xi’an Jiaotong University

  18. Ghost Attractor Networks: Basin-Structured Dynamical Decoders for Closed-Loop Sequential Generation

    Jun 16, 2026Tianyu Wang, Ying Wang, Zhihao Liu +2AttractorsLatent Variable

    Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden · Department of Decision and Control Systems, KTH Royal Institute of Technology, Stockholm, Sweden

  19. Faithful Action-unit Causal Reasoning for Counterfactually Faithful Emotion Explanations

    Jun 14, 2026Van Thong Huynh, Hong Hai Nguyen, Thuy Pham +2Faithful ExplanationFree-Form Textual Rationales

    Faculty of CSE, Ho Chi Minh City University of Technology (HCMUT), VNUHCM, Vietnam · Dept. of AI, FPT University, Vietnam · Faculty of DSAI, College of Technology, National Economic University, Vietnam +1

  20. Structured Nonparametric Variational Inference for Dependent Latent Modeling

    Jun 13, 2026Yuda Shao, Zhiling Gu, Shan YuVariational InferenceLatent Variable

    Department of Statistics, University of Virginia · Department of Biostatistics, Yale University

  21. Sensitivity Shaping for Latent Modeling

    Jun 12, 2026Hongzhan Yu, Chenghao Li, Ruipeng Zhang +2Latent DynamicsObstacle Avoidance

    University of California San Diego

  22. VideoWeave: Unlocking Geometric Consistency in Video Generation via Joint Geometry-Video Modeling

    Jun 12, 2026Xunzhi Xiang, Zixuan Duan, Yabo Chen +8Video Diffusion ModelsVideo Generation

    1Nanjing University · Institute of Artificial Intelligence, China Telecom (TeleAI) · 3Chinese University of Hong Kong, Shenzhen

  23. Surflo: Consistent 3D Surface Flow Model with Global State

    Jun 11, 2026Antoine Guédon, Shu Nakamura, Nicolas Dufour +3Feed-Forward 3D Reconstruction3D Generation

    LIX, École polytechnique · Kyoto University · Kyutai +1

  24. JointEdit3D: Feed-Forward 3D Scene Editing in a Unified Latent Space

    Jun 11, 2026Xinnan Zhu, Ruijie Xu, Jiayu Ying +43D EditingLatent Space

    East China Normal University · Shanghai Artificial Intelligence Laboratory · Fudan University +1

  25. Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning

    Jun 11, 2026Jiayu Yang, Chao Chen, Shengen Wu +6Efficient Latent ReasoningHidden States

    HKUST(GZ) · University of Cambridge · NTU +2

  26. Information Lattice Learning as Probabilistic Graphical Model Structure Learning

    Jun 11, 2026Haizi Yu, Lav R. VarshneyProbabilistic InferenceFactor Graphs

    Kocree, Inc. · AI Innovation Institute, Stony Brook University

  27. Feature-preserving Latent-EnKF for Data Assimilation of Flows with Shocks

    Jun 10, 2026Hemanth Chandravamsi, Hangchuan Hu, Ponkrshnan Thiagarajan +1Data AssimilationShock Propagation

    Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA

  28. BSTabDiff: Block-Subunit Diffusion Priors for High-Dimensional Tabular Data Generation

    Jun 8, 2026Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna Gyawali +2Synthetic Tabular DataHigh-Dimensional

    1,2,3,5Lane Department of Computer Science and Electrical Engineering West Virginia University, Morgantown, WV 26506, USA · 4Scientific Computing and Imaging Institute & Department of Biomedical Informatics The University of Utah, Salt Lake City, UT 84112, USA

  29. Discovering and decoding latent mean-field structure with variational autoencoders

    Jun 7, 2026Marco Biroli, Max Welling, Vincenzo VitelliConditional Variational AutoencoderMean-Field Limit

    Department of Physics and the James Franck Institute, University of Chicago, Chicago, IL, USA · CuspAI, Cambridge, England · AMLab, University of Amsterdam, Amsterdam, Netherlands +1

  30. Shared Latent Structures Enable Unified Backdoor Detection and Mitigation in LLMs

    Jun 6, 2026Omar Mahmoud, Aly M. Kassem, Thommen George Karimpanal +4Large Language Model BackbonesLatent Variable

    Applied Artificial Intelligence Initiative, Deakin University, Australia · Mila, Quebec AI Institute, Quebec, Canada · School of Information Technology, Deakin University, Australia +1

  31. Contrast encodes inductive bias: separating slow noise from dynamics in predictive representation learning

    Jun 5, 2026Paarth Gulati, Ilya NemenmanLearning DynamicsContrastive Learning

    Department of Physics, and Initiative in Theory and Modeling of Living Systems, Emory University, Atlanta, GA

  32. Generative Modeling of Discrete Latent Structures via Dynamic Policy Gradients

    Jun 5, 2026Stefan Ivanovic, Ge Liu, Mohammed El-KebirIntermediate Latent StatesLatent Variable

    Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign, IL 61801, USA · Cancer Center at Illinois, University of Illinois Urbana-Champaign, IL 61801, USA

  33. Consistent-Inversion: Reverse Consistency Guidance for Structure-Preserving Visual Editing

    Jun 5, 2026Xiaocheng Lu, Jingcai Guo, Song GuoDiffusion-Based Image EditingDiffusion Inversion

    Hong Kong University of Science and Technology, Hong Kong SAR, China · The Hong Kong Polytechnic University, Hong Kong SAR, China

  34. Cosine Misleads: Auxiliary Losses Reshape Vision Language Models, Not Their Latents

    Jun 4, 2026XiuYu Zhang, Junfeng Fang, Zhenkai LiangRecent Vision-Language ModelsVisual Reasoning

    National University of Singapore

  35. Environment-Robust Representation Learning with Empirical Bayes

    Jun 3, 2026Yuli Slavutsky, Matthew Shen, Bohan Wu +1Empirical BayesBayesian Inference

    Department of Statistics Columbia University New York, NY 10027, USA · Departments of Statistics and Computer Science Columbia University New York, NY 10027, USA

  36. Inverting the Generation Process of Denoising Diffusion Implicit Models: Empirical Evaluation and a Novel Method

    Jun 2, 2026Yan Zeng, Masanori Suganuma, Takayuki OkataniDenoising Diffusion Probabilistic ModelReconstruction Fidelity

    Graduate School of Information Sciences, Tohoku University · RIKEN Center for AIP

  37. LongLive-RAG: A General Retrieval-Augmented Framework for Long Video Generation

    Jun 1, 2026Qixin Hu, Shuai Yang, Wei Huang +2Long Video GenerationHievi-Rag

    NVIDIA · USC · MIT

  38. Decision-Focused On-Policy Learning for Contextual Linear Optimization with Partial Feedback

    May 31, 2026Wyame Benslimane, Tinghan Ye, Pascal Van Hentenryck +1Contextual Bandit FrameworkOn-Policy

    Department of Industrial Engineering and Operations Research University of California, Berkeley · H. Milton Stewart School of Industrial and Systems Engineering Georgia Institute of Technology

  39. Large-scale Uncertainty Quantification for Latent Variable Models Using Subsampling Markov Chain Monte Carlo

    May 29, 2026Xiaoyu Wang, Jonathan H. HugginsVariational InferenceGibbs

    Department of Mathematics & Statistics, Boston University · Faculty of Computing & Data Sciences, Boston University

  40. FLaG: Fine-Grained Latent Grouping for Hallucination Detection

    May 29, 2026Wentao Ye, Liyao Li, Zhiqing Xiao +6Hallucination DetectionCitation Hallucination

    Zhejiang University · Hangzhou, Zhejiang, China · Nanyang Technological University +1

  41. LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation

    May 26, 2026Jinze Li, Xiaoyan Yang, Shuo Yang +5Large Language Model PersonalizationFrozen Language Model

    The University of Hong Kong · Ant Healthcare, Ant Group

  42. StrTransformer: Source-Wise Structured Transformers for Unsupervised Blind Source Recovery

    May 25, 2026Yuan-Hao WeiSignal ReconstructionSpatio-Temporal Transformers

  43. Back to Parsimonious Latents: Learning Task-Centric World Models from Visual Foundations

    May 25, 2026Minghao Fu, Fan Feng, Nicklas Hansen +1World ModelsFrozen Vision-Language Models

    University of California, San Diego

  44. Certified Robustness from Approximate Gaussian Mixture Structures in Pretrained Latent Spaces

    May 25, 2026Konstantinos Emmanouilidis, Tianjiao Ding, Nghia Nguyen +2Adversarial TrainingRobustness Verification

    CS & MINDS Johns Hopkins University · CIS University of Pennsylvania

  45. Posterior Collapse as Automatic Spectral Pruning

    May 21, 2026Johannes HirnCollapseLatent Variable

    1Image Processing Laboratory (IPL), Universitat de València, Paterna, València 46980, Spain∗

  46. Disentanglement Beyond Generative Models with Riemannian ICA

    May 21, 2026Edmond CunninghamIndependent Component AnalysisLatent Variable

    University of Massachusetts Amherst

  47. Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation

    May 20, 2026Yicheng Jiang, Jiaxu Wang, Junhao He +8Point CloudsObject Geometry

    1The Hong Kong University of Science and Technology · 3MMLab, The Chinese University of Hong Kong · 2The Hong Kong University of Science and Technology (Guangzhou) +4

  48. Latent Process Generator Matching

    May 19, 2026Lukas Billera, Hedwig Nora Nordlinder, Ben MurrellGeneratorsLatent Variable

    Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden

  49. Miller-Index-Based Latent Crystallographic Fracture Plane Reasoning and generation with Vision-Language Models

    May 19, 2026Qinwu Xu, Xiaofu Ma, Yifan JiangCrystal StructureMultimodal Large Language Models

    Independent research

  50. Score-Based Causal Discovery of Latent Variable Causal Models

    May 19, 2026Ignavier Ng, Xinshuai Dong, Haoyue Dai +3Causal Discovery MethodsCausal Representation Learning

    Carnegie Mellon University · University of California, San Diego · Mohamed bin Zayed University of Artificial Intelligence

  51. EviTrack: Selection over Sampling for Delayed Disambiguation

    May 19, 2026Omer HaqLatent TrajectoriesSequence Modeling

    Independent Researcher · Baltimore, MD, USA

  52. Identifiable Multimodal Causal Representation Learning under Partial Latent Sharing

    May 18, 2026Manal Benhamza, Marianne Clausel, Myriam TamiCausal Representation LearningIdentifiability

    Paris-Saclay University, CentraleSupélec, MICS Lab, France · Lorraine University, CRAN, France

  53. XCTFormer: Leveraging Cross-Channel and Cross-Time Dependencies for Enhanced Time-Series Analysis

    May 18, 2026Israel Zexer, Omri AzencotMultivariate Time-SeriesTemporal Dependence

    The Stein Faculty of Computer and Information Science Ben-Gurion University of the Negev

  54. Entropic Auto-Encoding via Implicit Free-Energy Minimization

    May 15, 2026Hazhir Aliahmadi, Irina Babayan, Greg van AndersConditional Variational AutoencoderAutoencoder Architectures

    Department of Physics, Engineering Physics & Astronomy, Queen’s University, Kingston, ON, Canada

  55. Entropy-Based Characterisation of the Polarised Regime in Latent Variable Models

    May 15, 2026Peter Clapham, Lisa Bonheme, Marek GrzesLatent Variable

    School of Computing, University of Kent, Canterbury, United Kingdom · International Agency for Research on Cancer (IARC/WHO), Genomic Epidemiology Branch, Lyon, France

  56. Learning with Shallow Neural Networks on Cluster-Structured Features

    May 14, 2026Elisabetta Cornacchia, Laurent MassouliéLow-Dimensional StructureFeature Learning

    INRIA, DI/ENS, PSL.

  57. LPH-VTON: Resolving the Structure-Texture Dilemma of Virtual Try-On via Latent Process Handover

    May 14, 2026Yixin Liu, Baihong Qian, Jinglin Jiang +6Virtual Try-OnTexture

    Shanghai Jiao Tong University

  58. Uncovering Trajectory and Topological Signatures in Multimodal Pediatric Sleep Embeddings

    May 13, 2026Scott Ye, Harlin LeeSleepMultimodal Embeddings

    Department of Radiology, University of California, San Francisco · School of Data Science and Society, University of North Carolina at Chapel Hill

  59. Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces

    May 12, 2026Shixing Yu, Promit Ghosal, Kyra GanToken-Level UncertaintyLatent Variable

    Electrical and Computer Engineering · Cornell Tech · Department of Statistics +2

  60. A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables

    May 11, 2026Zheng Li, Feng Xie, Shenglan Nie +3Causal Discovery MethodsConditional Independence

    Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China · Department of Applied Statistics, Beijing Technology and Business University, Beijing, China · College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China